Remote Bioinformatics Analyst
Description
Remote Bioinformatics Analyst
Can Your Algorithms Turn Genomic Data Into Breakthroughs? Ours Do — and We're Ready to Build the Next Wave With You
When petabytes of clinical and genomic data collide, your insights are what make the difference. This remote Bioinformatics Analyst role empowers you to drive life-saving decisions through precision-driven data analysis, algorithm development, and impactful collaboration. You won't just manage data pipelines—you'll decode biological meaning that powers global research and personalized therapies.
What You’ll Help Shape
Decode Complexity With Purpose
Your statistical models and scripting fluency will enable you to translate complex biological phenomena into actionable results. Whether it's uncovering biomarkers, analyzing multi-omics datasets, or modeling gene expression dynamics, your contributions will influence both academic research and real-world treatments. You'll work with clinical trial teams to ensure predictive analytics align with patient outcomes and regulatory standards. Your interpretation of omics data will serve as a critical link between molecular research and translational medicine.
Elevate Our Data Ecosystem
From developing automated pipelines to refining sequencing analytics, you’ll enhance our scalable infrastructure and ensure high-integrity insights. Working closely with engineers, researchers, and clinical stakeholders, you’ll ensure that our systems are robust, reproducible, and prepared for the evolving demands of scientific research. You'll design dashboards to visualize results clearly and create feedback loops that improve pipeline accuracy with every dataset. Whether it's integrating third-party data sources or curating internal libraries, your influence will shape how we handle big data in life science.
Guide Scientific Discovery
You won't just crunch numbers. You'll be the analytical compass steering exploratory research, clinical trials, and diagnostic breakthroughs. Your work will directly support innovations used by leading pharma teams, research institutions, and biotech innovators. You'll have the opportunity to participate in grant proposals and collaborative research that influences both public and private sector health strategies. With each dataset, you'll refine hypotheses, test new algorithms, and contribute to findings that make a measurable impact.
Key Contributions
- Lead the end-to-end processing of high-throughput sequencing data using tools like BWA, GATK, or STAR.
- Develop scalable bioinformatics workflows in Nextflow or Snakemake to automate critical analyses.
- Partner with wet-lab scientists to identify data gaps, troubleshoot experimental pipelines and validate findings.
- Build statistical models that extract insights from transcriptomics, epigenetics, and proteomics datasets.
- Contribute to publications, regulatory reports, and internal R&D strategy through polished visualizations and narrative-ready interpretations.
- Conduct comparative genomics and evolutionary analyses to inform drug target identification.
- Curate reference datasets, gene annotations, and functional ontologies that improve interpretability across projects.
- Evaluate algorithmic performance and optimize pipelines for speed, accuracy, and memory efficiency.
The Tools You’ll Master
You'll work within an evolving and powerful tech stack designed to optimize both performance and collaboration:
- Languages & Libraries: Python, R, Bioconductor, Pandas, NumPy, ggplot2
- Platforms: AWS, Terra, DNAnexus, Google Cloud Platform
- Pipelines & Automation: Nextflow, Snakemake, Docker, GitLab CI
- Data Types: WGS, RNA-seq, ChIP-seq, single-cell, methylation, spatial omics
- Collaboration Tools: Slack, Notion, Zoom, JupyterHub
- Version Control & Documentation: Git, Markdown, Confluence, DVC
The Way We Work
Remote Collaboration With Focus
You’ll thrive in a location-independent setup where geography doesn’t limit your impact. From your preferred workspace, you'll connect meaningfully with peers and partners anywhere. You’ll have the flexibility to shape your hours while still syncing closely with team milestones and sprint cycles. Our asynchronous culture values autonomy, but we never leave anyone behind—you’ll always have access to mentorship, code reviews, and team retros. We support a healthy work-life rhythm, offer virtual coworking hours, and maintain an open feedback culture to ensure everyone stays connected.
Meaningful Partnerships
You’ll partner with cross-disciplinary experts—geneticists, clinicians, and data engineers—to craft unified pipelines and push the limits of what's possible in modern life science. Your work won't sit in silos. It’ll be seen, used, and celebrated. You’ll participate in weekly cross-functional stand-ups, hackathons, and learning circles. From pilot projects to enterprise-wide integrations, your insights will inform key decisions at every level.
Intellectual Rigor + Human Empathy
We don’t just hire analytical thinkers. We thrive on curiosity, kindness, and clear communication. You simplify complex ideas—whether it's over Zoom or in a multi-institution data consortium. Your ability to articulate data findings to both technical and non-technical audiences will ensure everyone can make informed, confident decisions.
What You Bring
- Advanced degree (MS/PhD) in Bioinformatics, Computational Biology, Biostatistics, or a related field
- 3+ years of experience analyzing large-scale sequencing or omics datasets
- Proficiency in scripting (Python, R) and cloud computing workflows
- Familiarity with containerization and reproducible science practices
- Strong grasp of statistical analysis, data normalization, and visualization
- A passion for scientific integrity, collaboration, and continuous learning
- Comfort interpreting and debugging open-source tools, libraries, and genome databases
- Ability to simplify complex scientific findings into stories that inspire action
Compensation & Growth
This position offers an annual salary of $94,474 alongside a remote-first environment designed for lifelong learning and career growth. You’ll gain exposure to global research projects, lead initiatives with autonomy, and grow with a company where curiosity fuels momentum. We offer learning stipends, internal knowledge shares, and dedicated time each quarter for independent innovation and research.
Let’s Advance Human Health Together
If you're ready to turn complex datasets into breakthroughs that improve lives, we’re eager to connect. Let’s build data-powered solutions that shape the next era of precision medicine—starting now. Your algorithms could be the reason someone gets the right diagnosis faster, a therapy reaches the market sooner, or a research team unlocks a life-altering discovery. Let’s build something meaningful—together.